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Kazuya Saito; Adam Tierney – Language Learning, 2025
This study expands on the practical application of the critical role of auditory processing in the rate of naturalistic L2 speech acquisition. In Study 1, the prosodic production of English by 46 Chinese college students was tracked over a five-month study abroad program in the UK. Learners with extensive L2 input opportunities demonstrated…
Descriptors: Second Language Learning, English (Second Language), College Students, Foreign Students
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Wen-Chiang Ivan Lim; Neil T. Heffernan III; Ivan Eroshenko; Wai Khumwang; Pei-Chen Chan – Grantee Submission, 2025
Intelligent tutoring systems are increasingly used in schools, providing teachers with valuable analytics on student learning. However, many teachers lack the time to review these reports in detail due to heavy workloads, and some face challenges with data literacy. This project investigates the use of large language models (LLMs) to generate…
Descriptors: Intelligent Tutoring Systems, Natural Language Processing, Assignments, Learning Management Systems
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Anja Wunderlich – International Journal of Language & Communication Disorders, 2025
Background: In everyday communication, word retrieval is semantically driven. A similar processing mechanism can be assumed for category fluency tasks. In contrast, in phonemic fluency tasks or rhyme production, the retrieval process must be based on the word form. In phonemic fluency, executive and language functions have been discussed as…
Descriptors: Aphasia, Written Language, Language Skills, Language Processing
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Utako Minai; Kiwako Ito; Adam Royer – Journal of Child Language, 2025
Quantifier spreading (Q-spreading), children's incorrect falsification of a universally-quantified sentence based on an 'extra-object' picture, may persist beyond childhood, and children adhere to Q-spreading without changing responses throughout testing. We examined the error patterns across wider age groups (aged 4-79) with a picture-sentence…
Descriptors: Child Language, Comprehension, Language Processing, Form Classes (Languages)
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Aimee Weathers; Diana Curtis – Journal of Technology and Teacher Education, 2025
The purpose of this mixed-methods study was to investigate how generative AI tools, particularly ChatGPT, impact preservice teachers' lesson plans and attitudes toward mathematics. Fifty-five undergraduate students who were enrolled in their first semester of a teacher education program participated in the study. Each student created two lesson…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Mathematics Instruction
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Mohammed Q. Shormani; Abdulrahaman Alfahad – SAGE Open, 2025
This article presents an empirical study investigating the ability of ChatGPT to translate religious texts involved in academic writing. Specifically, religious texts are not easy to translate even for human proficient translators. Three Arabic academic abstracts, religion-oriented, were involved in our study taken from AlQalam Journal which is…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Natural Language Processing, Arabic
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Yucheng Chu; Hang Li; Kaiqi Yang; Harry Shomer; Yasemin Copur-Gencturk; Leonora Kaldaras; Kevin Haudek; Joseph Krajcik; Namsoo Shin; Hui Liu; Jiliang Tang – International Educational Data Mining Society, 2025
Open-text responses provide researchers and educators with rich, nuanced insights that multiple-choice questions cannot capture. When reliably assessed, such responses have the potential to enhance teaching and learning. However, scaling and consistently capturing these nuances remain significant challenges, limiting the widespread use of…
Descriptors: Grading, Automation, Artificial Intelligence, Natural Language Processing
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Scott Sevart; Jackson Conners – Rehabilitation Research, Policy, and Education, 2025
Background: Artificial intelligence (AI) is rapidly transforming various aspects of society, raising both opportunities and challenges. As its presence expands, understanding its implications and effective use becomes increasingly important. Objective: This article aims to examine the current applications, potential, and implications of AI, with a…
Descriptors: Artificial Intelligence, Natural Language Processing, Best Practices, Legal Problems
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Abdulkadir Kara; Zeynep Avinç Kara; Serkan Yildirim – International Journal of Assessment Tools in Education, 2025
In measurement and evaluation processes, natural language responses are often avoided due to time, workload, and reliability concerns. However, the increasing popularity of automatic short-answer grading studies for natural language responses means such answers can now be measured more quickly and reliably. This study aims to build models for…
Descriptors: Scoring, Automation, Artificial Intelligence, Natural Language Processing
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Amber Hedquist; Max Castillon; Megan Cooper; Valerie Keim; Tasha Mohseni; Kimberly Purcell – Journal of Research Administration, 2025
This reflective inquiry reports on the experiences of a working group at Arizona State University (ASU) that, over the course of four months, built, integrated, and iterated artificial intelligence (AI) solutions into their daily work as research administrators. During this process, the group focused on creating AI solutions for the complex,…
Descriptors: Research Administration, Artificial Intelligence, State Universities, Technology Integration
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Mohsin Murtaza; Chi-Tsun Cheng; Mohammad Fard; John Zeleznikow – International Journal of Artificial Intelligence in Education, 2025
As modern vehicles continue to integrate increasingly sophisticated Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV) functions, conventional user manuals may no longer be the most effective medium for conveying knowledge to drivers. This research analysed conventional, paper and video-based instructional methods versus a…
Descriptors: Educational Change, Driver Education, Motor Vehicles, Natural Language Processing
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Foppolo, Francesca; Bosch, Jasmijn E.; Greco, Ciro; Carminati, Maria N.; Panzeri, Francesca – Cognitive Science, 2021
Predicates like "coloring-the-star" denote events that have a temporal duration and a culmination point ("telos"). When combined with perfective aspect (e.g., "Valeria has colored the star"), a culmination inference arises implying that the action has stopped, and the star is fully colored. While the perfective aspect…
Descriptors: Language Processing, Time, Sentences, Verbs
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Sílvia Perpiñán; Michael T. Putnam – Second Language Research, 2024
This special issue revisits a classic topic in linguistic theory, A-bar movement, applied to developing and bilingual grammars. We claim that A-bar movement, or filler-gap dependencies, is still the quintessential linguistic phenomenon to illustrate the interaction between the biological endowment, the experience with language (past and present),…
Descriptors: Bilingualism, Multilingualism, Grammar, Second Language Learning
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Ailís Cournane; Mina Hirzel; Valentine Hacquard – Language Acquisition: A Journal of Developmental Linguistics, 2024
Modals (e.g., "can," "must") vary along two dimensions of meaning: "force" (i.e., possibility or necessity), and "flavor" (i.e., possibilities relative to knowledge [epistemic], goals [teleological], or rules [deontic] …). Comprehension studies show that children struggle with both force and flavor…
Descriptors: Verbs, Language Acquisition, Child Language, Definitions
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Stephanie Moore; Amir Hedayati-Mehdiabadi; Victor Law; Sung Pil Kang – TechTrends: Linking Research and Practice to Improve Learning, 2024
Early hype cycles surrounding new technologies may promote simplistic binary options of either adoption or rejection, but socio-historical analyses of technologies illuminate how they are worked into shape by human actors. Humans enact agency through many choices that result in adaptations and contextual variations. In this piece, we argue that…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Ethics
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